Although cannabis was legalized in Canada for recreational use in October 2018, there remains no effective method to determine roadside cannabis impairment. The state of the art device for detecting cannabis use roadside is saliva-based which has several flaws, including the fact that THC remains in saliva up to 72 hours after intake. In this […]

Diets which reduce carbohydrate intake and increase protein intake, such as Atkins diet, are popular and effective for weight loss. However, such diets may negatively affect cardiovascular health by increasing atherosclerotic plaque formation, and overall lead to higher mortality. Vuckovic and Bergdahl previously used mouse model that mimics spontaneous formation of atherosclerotic plaques in humans […]

Les stades les plus avancés du cancer sont caractérisés par la présence de tumeurs secondaires appelées métastases. Elles apparaissent suite à la dissémination de cellules tumorales dans l’organisme. Pour cela, les cellules tumorales acquièrent des capacités de migration et d’invasion. Les protéines de la famille des RhoGTPases sont impliquées dans ces phénomènes, il est donc […]

La presente recherche traite de l’evaluation des risques faisant obstacle a la liberte d’exploitation (FTO) d’un produit biologique, tel que levaccin XX d’influenza developpe par Medicago®. Elle correspond a la derniere etape du systeme de controle P.I. et a, notamment, pour objet d’identifier de nouveaux risques, mais egalement de mettre a jour taus les risques […]

The central problem of pharmaceutical research is to understand the effect of a certain molecule on human or animal biology. Many machine learning models have been developed in recent years and show great efficiency and accuracy for this kind of predictions. However, a problem common to many of the best algorithms is that they require […]

Our DNA exists in many different forms. The G-quadruplex is a type of DNA structure made from four strands of DNA. These structures are highly stable and potentially form throughout the genome at clinically important sites. To understand how G-quadruplex structures form, we need to investigate the physical forces that hold the molecules together. When […]

Conventional drug delivery methods, including oral ingestion and injection, distribute the drug to the entire body, reducing the amount of the drug delivered to the target tissue or organ and increasing side effects. Targeted drug delivery, in which the drug is transported directly to the target tissue or organ, can be used to minimize these […]

Research into wearable systems, functional nanomaterials, 3D printing, flexible microfluidics, and commercial thermoplastic polymer (TP) microfluidics, is reported daily. However, much of this research is hindered by difficulties in integrating structures, devices, and systems realized using different materials platforms. While polymers such as SU-8 and polydimethylsiloxane (PDMS) are popular with academics, TPs such as optically […]

Infectious diseases from a variety of pathogens can lead to serious health conditions such as sepsis. To improve the prognosis and decrease the mortality rate of infectious diseases, point-of-care testing (POCT) of blood biomarkers is a critical approach. Testing of biomarkers such as C-reactive protein, IL-6 and procalcitonin could help identify the type of pathogen […]

Bioprocesses are indispensable for the sustainable production of high value chemical compounds from renewable feedstock. In many processes, genetically engineered strains with a modified metabolism are used. Boosting the performance of such a production host can be essential to make a bioprocess profitable. Computational strain design provides methods to identify interventions in the microbial metabolism […]

A new therapy was developed in order to combat cancers by stimulating our immune system to fight agents the cancer cells in the body. The activated immune system is more efficient to fight the cancer cells than the common drugs, but stimulating the immune system is very expensive and labour-intensive with the currently developed protocols. […]

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on 2D images […]